Electric Power ›› 2023, Vol. 56 ›› Issue (9): 96-103,119.DOI: 10.11930/j.issn.1004-9649.202304092

• Distribution Network Planning and Optimized Operation • Previous Articles     Next Articles

An Evaluation Method for Multi-type Flexible Resource Regulation Capability on the User Side of Distribution Networks

ZHANG Juncheng1, LI Min1, LIU Zhiwen2, TAN Jing1, TAO Yigang1, LUO Tianlu1   

  1. 1. Guangxi Power Grid Co., Ltd., Nanning 530023, China;
    2. Energy Development Research Institute, China Southern Power Grid, Guangzhou 510670, China
  • Received:2023-04-23 Revised:2023-08-03 Accepted:2023-07-22 Online:2023-09-23 Published:2023-09-28
  • Supported by:
    This work is supported by the Science and Technology Project of China Southern Power Grid (No.046700KK52220003) and the National Natural Science Foundation of China (No.U22B20114).

Abstract: As the penetration rate of new energy gradually increases, the matching difficulty of grid-source-load in the distribution network also increases. It is therefore necessary to fully tap the adjustment potential of user-side flexible resources. In order to evaluate the adjustment ability of multiple types of flexible resources on the user side of the distribution network, a framework for evaluating the adjustment ability of flexible resource clusters in the distribution network is proposed, which includes two levels: node level and system level. Secondly, based on the conditional value at risk model, a response model of user-side flexible resources inluding temperature controlled load, electric vehicles, and distributed energy storage is established, and the adjustable capacity indexes of node level flexible resources are obtained. And then, taking the minimum peak-valley load difference and the maximum new energy consumption as objective functions, and considering the constraints of distribution network operation and flexible resource regulation, a system level flexible resource adjustable capacity evaluation model is established. Finally, a case study is conducted in the Portugal 54-node system, and the results show that the proposed method can effectively quantify the adjustment ability of multi-type flexible resource clusters in the distribution network.

Key words: flexible resources on the user side, temperature controlled load, electric vehicles, distributed energy storage, regulatory ability assessment